code: def test_different_shapes(self, shape):
      stage = clipping.ClipByNormEncodingStage(1.0)
      test_data = self.run_one_to_many_encode_decode(
          stage, lambda: tf.random.uniform(shape) + 1.0
      )
      self.common_asserts_for_test_data(test_data)
      self.assertAllClose(1.0, np.linalg.norm(test_data.decoded_x))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages.research import clipping
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 7 for calling the ClipByNormEncodingStageTest obj's underlying member method code with example usage: obj.test_different_shapes(shape) without return types